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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table class=\"ee-notebook-buttons\" align=\"left\">\n",
    "    <td><a target=\"_blank\"  href=\"https://github.com/giswqs/geehydro/tree/master/examples/naip.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://nbviewer.jupyter.org/github/giswqs/geehydro/blob/master/examples/naip.ipynb\"><img width=26px src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png\" />Notebook Viewer</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://mybinder.org/v2/gh/giswqs/geehydro/master?filepath=examples/naip.ipynb\"><img width=58px src=\"https://mybinder.org/static/images/logo_social.png\" />Run in binder</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://colab.research.google.com/github/giswqs/geehydro/blob/master/examples/naip.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /> Run in Google Colab</a></td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Install Earth Engine API\n",
    "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geehydro](https://github.com/giswqs/geehydro). The **geehydro** Python package builds on the [folium](https://github.com/python-visualization/folium) package and implements several methods for displaying Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, `Map.centerObject()`, and `Map.setOptions()`.\n",
    "The magic command `%%capture` can be used to hide output from a specific cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%capture\n",
    "# !pip install earthengine-api\n",
    "# !pip install geehydro"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "import folium\n",
    "import geehydro\n",
    "from geehydro.utilities import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Authenticate and initialize Earth Engine API. You only need to authenticate the Earth Engine API once. Uncomment the line `ee.Authenticate()` \n",
    "if you are running this notebook for this first time or if you are getting an authentication error.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ee.Authenticate()\n",
    "ee.Initialize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create an interactive map \n",
    "This step creates an interactive map using [folium](https://github.com/python-visualization/folium). The default basemap is the OpenStreetMap. Additional basemaps can be added using the `Map.setOptions()` function. \n",
    "The optional basemaps can be `ROADMAP`, `SATELLITE`, `HYBRID`, `TERRAIN`, or `ESRI`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map = folium.Map(location=[40, -100], zoom_start=4)\n",
    "Map.setOptions('HYBRID')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add Earth Engine Python script "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available NAIP images: 4\n"
     ]
    }
   ],
   "source": [
    "#Step 1: Get county boundary\n",
    "counties = ee.FeatureCollection('TIGER/2018/Counties')\n",
    "# Map.addLayer(counties, {}, 'US Counties', False)\n",
    "\n",
    "knox = counties.filter(ee.Filter.And(ee.Filter.eq('NAME', 'Knox'), ee.Filter.eq('STATEFP', '47')))\n",
    "Map.centerObject(knox, 10)\n",
    "Map.addLayer(knox, {}, 'Knox County')\n",
    "\n",
    "naip_images = findNAIP(knox)\n",
    "naip_count = naip_images.size().getInfo()\n",
    "print('Available NAIP images: {}'.format(naip_count))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2010-04-11', '2012-05-28', '2014-04-27', '2016-04-18']\n"
     ]
    }
   ],
   "source": [
    "dates = ee.List(naip_images.aggregate_array('system:time_start')).map(lambda x: ee.Date(x).format('YYYY-MM-dd'))\n",
    "dates_list = dates.getInfo()\n",
    "print(dates_list)\n",
    "\n",
    "ndvi_vis = {\n",
    "    'min': 0,\n",
    "    'max': 1,\n",
    "    'palette': [\n",
    "      'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718',\n",
    "      '74A901', '66A000', '529400', '3E8601', '207401', '056201',\n",
    "      '004C00', '023B01', '012E01', '011D01', '011301']    \n",
    "}\n",
    "\n",
    "for i in range(0, naip_count):\n",
    "    naip_image = ee.Image(naip_images.toList(naip_count).get(i))\n",
    "    ndvi_image = naip_image.select('ndvi')\n",
    "    Map.addLayer(naip_image, {'bands': ['N', 'R', 'G']}, 'NAIP ' + dates_list[i])\n",
    "    Map.addLayer(ndvi_image, ndvi_vis, 'NDVI ' + dates_list[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Display Earth Engine data layers "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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